Research on the Application of Data Mining Technology in Educational Management System

Ma Jinglin

doi:10.7176/jep/11-8-14

Abstract

Data mining technology has changed the way people understand data and analyze data to a large extent. The technology belongs to a new kind of information processing technology, which can provide information support to the decision makers and make for promotion of integrated development of educational reform. At present, the educational management system in colleges and universities mainly centers on the handling of daily routines, and the mass data merely realized the storage instead of exerting its function, besides, the significance hidden in the mass data often has not been discovered. Therefore, starting from the definition of data mining, the paper analyzed the necessity of application of data mining technology in the educational management system, and then studied the application of data mining technology in the educational management system. Keywords: Data Mining; Colleges and Universities; Educational Management System; Application DOI: 10.7176/JEP/11-8-14 Publication date: March 31 st 2020

Highlights

Background and Definition of Data MiningWith the increasingly widespread application of educational management system in colleges and universities, the information quantity of historical data becomes more and more massive
The objective of application of data mining technology in the educational management system is to discover the laws through collection of external information and analysis of historical data in the educational management system, so as to realize prediction on the trend of future teaching affairs management and formulation of educational management strategies
We will focus on the application of data mining technology in the educational management system below

Summary

Outline of Database:unified fact and unified subject

3.2 Association rules mining in the educational administration system Among the large amount of data mining research techniques, the most popular is the association rules mining. The major setup and course system of colleges and universities should be synchronized with the social needs, which requires the schools to revise the teaching program in a timely manner and replace the curriculum unfit for the market requirements In this way, we can take advantage of the data mining and adopt the correlation analysis, mainly the association rules to analyze the reasonability of curriculum setting. The topic of association rules is important in the field of data mining It seeks the frequent patterns, correlation, dependency or causal structure between the item sets or between the object sets in the transaction data, relational data or other information carriers. Using association rules mining in the student evaluation module can associate the test achievements of the students with the individual information (e.g.,gender, nationality, age, origin of student, etc..), applying the discovered rules into decision-making and providing valuable reference for qualityoriented education and teaching modes. 1 of a group of students as an example, Table 2 is further analyzed by association rules

Student ID

Conclusions